# Gemini 2.5 Flash vs GLM-4.5

> GLM-4.5 is the stronger model overall, scoring 42.0 to 39.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-2-5-flash-vs-glm-4-5
- Last updated: 2026-10-10
- Shared benchmarks: 26

## Summary

- They share 26 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 4 categories and GLM-4.5 in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.5 leads 28.6 to 18.1.
- The biggest single-benchmark swing is SWE-bench Verified (bash only): 28.7% for Gemini 2.5 Flash and 54.2% for GLM-4.5.
- Gemini 2.5 Flash is cheaper at $0.30 / $2.50 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
- Gemini 2.5 Flash accepts more context: 1.05M tokens versus 131K.
- GLM-4.5 has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 2.5 Flash | GLM-4.5 |
|---|---|---|
| Provider | Google | Z.ai (Zhipu) |
| Noometry Index | 39.3 | 42.0 |
| Rank | 170 | 122 |
| Context | 1.05M | 131K |
| Input $/M | $0.30 | $0.60 |
| Output $/M | $2.50 | $2.20 |
| Weights | Proprietary | Open |

## Coding

- Gemini 2.5 Flash: 35.8 (#220)
- GLM-4.5: 41.4 (#125)

| Benchmark | Gemini 2.5 Flash | GLM-4.5 |
|---|---|---|
| SWE-bench Verified (bash only) | 28.7% | 54.2% |
| WeirdML | 41.9% | 40.6% |
| LMArena Coding | 1424 | 1434 |
| ALE-Bench | 661.88 | 344.82 |
| Aider Polyglot | 55.1% | — |
| AlgoTune | — | 1.52 |

## Agentic & Tool Use

- Gemini 2.5 Flash: 30.8 (#74)
- GLM-4.5: —

| Benchmark | Gemini 2.5 Flash | GLM-4.5 |
|---|---|---|
| Terminal-Bench | 17.1% | — |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |

## Reasoning

- Gemini 2.5 Flash: 18.1 (#286)
- GLM-4.5: 28.6 (#100)

| Benchmark | Gemini 2.5 Flash | GLM-4.5 |
|---|---|---|
| Kagi LLM Benchmark | 56.8% | 57.9% |
| LMArena Hard Prompts | 1422 | 1429 |
| ARC-AGI-2 | 2.5% | — |
| SimpleBench | 41.2% | — |
| ARC-AGI-1 | 33.3% | — |
| CritPt | 1.1% | — |
| EnigmaEval | 2.7% | — |
| DTBench | 76.5% | — |
| LMCA | 27.5% | — |
| Epoch Capabilities Index | 143.03 | — |
| ForecastBench | 60.6 | — |

## Math

- Gemini 2.5 Flash: 39.9 (#98)
- GLM-4.5: 39.0 (#116)

| Benchmark | Gemini 2.5 Flash | GLM-4.5 |
|---|---|---|
| LMArena Math | 1415 | 1427 |
| OTIS Mock AIME 2024-2025 | 73.1% | — |
| Omni-MATH | 38.5% | — |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |

## Knowledge

- Gemini 2.5 Flash: 36.4 (#168)
- GLM-4.5: 35.9 (#179)

| Benchmark | Gemini 2.5 Flash | GLM-4.5 |
|---|---|---|
| Humanity's Last Exam | 12.1% | 8.3% |
| Confabulations | 16.8% | 11.3% |
| LMArena Expert | 1426 | 1433 |
| MMLU-Pro | 63.9% | — |
| Vectara Hallucination Rate | 7.8% | — |
| GPQA (HELM) | 39% | — |

## Multimodal

- Gemini 2.5 Flash: 41.8 (#32)
- GLM-4.5: —

| Benchmark | Gemini 2.5 Flash | GLM-4.5 |
|---|---|---|
| LMArena Vision | 1253 | — |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |

## Multilingual

- Gemini 2.5 Flash: 52.3 (#88)
- GLM-4.5: 52.8 (#77)

| Benchmark | Gemini 2.5 Flash | GLM-4.5 |
|---|---|---|
| LMArena Non-English | 1409 | 1417 |
| LMArena Chinese | 1450 | 1465 |
| LMArena French | 1433 | 1418 |
| LMArena German | 1418 | 1407 |
| LMArena Japanese | 1405 | 1415 |
| LMArena Korean | 1385 | 1380 |
| LMArena Russian | 1415 | 1414 |
| LMArena Spanish | 1421 | 1454 |

## Instruction Following

- Gemini 2.5 Flash: 75.7 (#54)
- GLM-4.5: 74.1 (#104)

| Benchmark | Gemini 2.5 Flash | GLM-4.5 |
|---|---|---|
| LMArena Instruction Following | 1405 | 1404 |
| IFEval | 89.8% | — |

## Long Context

- Gemini 2.5 Flash: 47.5 (#17)
- GLM-4.5: 38.2 (#201)

| Benchmark | Gemini 2.5 Flash | GLM-4.5 |
|---|---|---|
| Fiction.LiveBench | 77.8% | 58.3% |
| LMArena Longer Query | 1419 | 1412 |

## Writing & Preference

- Gemini 2.5 Flash: 53.8 (#157)
- GLM-4.5: 57.5 (#127)

| Benchmark | Gemini 2.5 Flash | GLM-4.5 |
|---|---|---|
| LMArena Text | 1417 | 1430 |
| LMArena Creative Writing | 1400 | 1395 |
| Short-Story Creative Writing | 76.5% | 73.4% |
| EQ-Bench Creative Writing | 1137 | 1343 |
| LMArena Multi-Turn | 1408 | 1415 |
| WildBench | 81.7% | — |

## FAQ

### Is Gemini 2.5 Flash better than GLM-4.5?

GLM-4.5 is the stronger model overall, scoring 42.0 to 39.3 on the Noometry Index.

### Which is cheaper, Gemini 2.5 Flash or GLM-4.5?

Gemini 2.5 Flash is cheaper. It lists at $0.30 per million input tokens and $2.50 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.

### Is Gemini 2.5 Flash or GLM-4.5 better for coding?

GLM-4.5 scores higher on coding benchmarks: 41.4 versus 35.8 in the Noometry coding category.

### Which has the bigger context window?

Gemini 2.5 Flash does, with 1.05M tokens against 131K.

### How many benchmarks do Gemini 2.5 Flash and GLM-4.5 share?

26 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and GLM-4.5 has 27.